Apple Inc.

Samsung Electronics Co., Ltd.

Novauris Technologies Ltd.

Dragon Systems UK Limited

Melvyn J Hunt

John Bridle

Madhusudan Chinthakunta

Gunnar Evermann

Jeongsu Kim

Giljin Jang

Tuomo J Raitio

Adrian Skilling

Hywel B Richards

Systems and processes for operating an intelligent automated assistant to provide media items based on phonetic matching techniques are provided. An example method includes receiving a speech input from a user and determining whether the speech input includes a user request for a media item. The method further includes, in accordance with a determination that the speech input includes a user request for obtaining a media item, determining a candidate media item from a plurality of media items. The method further includes determining, based on a difference between a phonetic representation of the candidate media item and a phonetic representation of the speech input, whether the candidate media item is to be provided to the user. The method further includes, in accordance with a determination that the candidate media item is to be provided to the user, providing the candidate media item to the user.

Methods and systems for phonetic matching in digital assistant services

Systems and processes for detecting and/or providing a whispered speech response are provided. In one example process, speech is received from a user, and based on the speech input, determined that a whispered speech response is to be provided. Upon determining that a whispered speech response is to be provided, the whispered speech response is generated and provided to the user.

Digital assistant providing whispered speech

A system and method of speech recognition involving a mobile device. Speech input is received () on a mobile device () and converted () to a set of phonetic symbols. Data relating to the phonetic symbols is transferred () from the mobile device over a communications network () to a remote processing device () where it is used () to identify at least one matching data item from a set of data items (). Data relating to the at least one matching data item is transferred () from the remote processing device to the mobile device and presented () thereon.

Speech recognition involving a mobile device

A speech recognition method, medium, and system. The method includes detecting an energy change of each frame making up signals including speech and non-speech signals, and identifying a speech segment corresponding to frames that include only speech signals from among the frames based on the detected energy change.

Method, medium, and system detecting speech using energy levels of speech frames

A speech recognition method includes a step of receiving a phonetic sequence output by a phonetic recognizer. The method also includes a step of matching the phonetic sequence with one of a plurality of reference phoneme sequences stored in a reference list that matches closest thereto. At least one of the plurality of reference phoneme sequences stored in the reference list includes additional information with respect to a phonetic sequence that is capable of being output by the phonetic recognizer.

Phonetically based speech recognition system and method

The periodicity of a signal from a voice channel is determined by sampling the signal, computing the log power spectrum, optionally thresholding and differencing the power spectrum, and then performing an autocorrelation function of limited order to confine the search for periodicity to spans of up to about 400 Hz to 500 Hz.

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Cheltenham, United Kingdom

Melvyn J Hunt